APMA 1650 - Spring 2021

Statistical Inference I


Welcome to APMA 1650 - Statistical Inference I


APMA 1650 is a rigorous first course in probability and mathematical statistics with applications. The course includes a self-contained introduction to probability theory, and statistical methods are derived from their probabilistic roots. The course provides the background and is a prerequisite for many other courses concerning probability and statistics in the Division of Applied Mathematics, and other departments. The successful student will be in a good position to understand new and more complex statistical methods, to critically evaluate the strengths, weaknesses and the appropriateness of existing statistical methodologies. They will also have the foundation to learn to apply these principles in new settings.


Course Information Summary


This webpage contains all the material and information related to the course. All relevant course information can be found in the navigation links at the top of the page. Below is a brief summary of some important course information. Please review the course syllabus for a more details.

  • Please direct all course communications and questions through the course Campuswire page (signup link is posted on Canvas)
  • Synchronous meetings will take place MWF 11-11:50am via Zoom (accessible through Canvas)
  • A calendar of weekly topics, assigned readings, and due dates can be found in the course schedule
  • Readings will be assigned from the free online book Introduction to Probability, Statistics and Random Processes by Hossein Pishro-Nik
  • Exams and homeworks will be assigned and collected through Gradescope (accessible through Canvas)
  • There will be weekly reading comprehension quizzes with unlimited attempts assigned through Canvas (due Fridays)
  • Grades will be assigned and updated on Canvas as they are completed